Agent skill

M11 Ecosystem

by fjrevoredo in fjrevoredo/mini-diarium

A skill your agent uses when integrating crates or ecosystem questions.

MITAuto-check passed

Install M11 Ecosystem

skills CLI
$ npx skills add fjrevoredo/mini-diarium --skill m11-ecosystem -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install fjrevoredo/mini-diarium m11-ecosystem --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/fjrevoredo/mini-diarium.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/m11-ecosystem .claude/skills/m11-ecosystem && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
m11-ecosystem
GitHub stars
308
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
369 words
Files
1
Skills in repo
41
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when integrating crates or ecosystem questions.

  • Works in 3 steps: Is it well-maintained? → What's the scope? → How does it integrate?
  • Integrating crates
  • SKILL.md covers Current Dependencies…, Core Question, Integration Decision →… and Thinking Prompt, plus 7 more sections
  • Calls cargo

What it does

M11 Ecosystem is an agent skill from fjrevoredo/mini-diarium. Use when integrating crates or ecosystem questions. Keywords: E0425, E0433, E0603, crate, cargo, dependency, feature flag, workspace, which crate to use, using external C libraries, creating Python extensions, PyO3, wasm, WebAssembly, bindgen, cbindgen, napi-rs, cannot find, private, crate recommendation, best crate for, Cargo.toml, features, crate 推荐, 依赖管理, 特性标志, 工作空间, Python 绑定

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with WebAssembly, Rust and Python. The repository describes itself as: A local-only journal with serious encryption. Free, open source, and never touches the internet. The licence is MIT.

When your agent uses it

  • Integrating crates
  • Ecosystem questions

Example prompts

  • “/m11-ecosystem”

Requirements

  • Python 3
  • Node.js

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Is it well-maintained?
  2. What's the scope?
  3. How does it integrate?

What it can do on your machine

Read from SKILL.md and the folder at commit eed457f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • cargo

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

M11 Ecosystem loads about 1.1k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 369 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from fjrevoredo/mini-diarium at commit eed457f, republished under its MIT licence (© fjrevoredo). 369 words, ~1,111 tokens.

Download SKILL.mdSave it as .claude/skills/m11-ecosystem/SKILL.md (or your agent's skills folder).
name
m11-ecosystem
description
Use when integrating crates or ecosystem questions. Keywords: E0425, E0433, E0603, crate, cargo, dependency, feature flag, workspace, which crate to use, using external C libraries, creating Python extensions, PyO3, wasm, WebAssembly, bindgen, cbindgen, napi-rs, cannot find, private, crate recommendation, best crate for, Cargo.toml, features, crate 推荐, 依赖管理, 特性标志, 工作空间, Python 绑定
user-invocable
false

Current Dependencies (Auto-Injected)

!grep -A 100 '^\[dependencies\]' Cargo.toml 2>/dev/null | head -30 || echo "No Cargo.toml found"


Ecosystem Integration

Layer 2: Design Choices

Core Question

What's the right crate for this job, and how should it integrate?

Before adding dependencies:

  • Is there a standard solution?
  • What's the maintenance status?
  • What's the API stability?

Integration Decision → Implementation

NeedChoiceCrates
SerializationDerive-basedserde, serde_json
Async runtimetokio or async-stdtokio (most popular)
HTTP clientErgonomicreqwest
HTTP serverModernaxum, actix-web
DatabaseSQL or ORMsqlx, diesel
CLI parsingDerive-basedclap
Error handlingApp vs libanyhow, thiserror
LoggingFacadetracing, log

Thinking Prompt

Before adding a dependency:

  1. Is it well-maintained?

    • Recent commits?
    • Active issue response?
    • Breaking changes frequency?
  2. What's the scope?

    • Do you need the full crate or just a feature?
    • Can feature flags reduce bloat?
  3. How does it integrate?

    • Trait-based or concrete types?
    • Sync or async?
    • What bounds does it require?

Trace Up ↑

To domain constraints (Layer 3):

"Which HTTP framework should I use?"
    ↑ Ask: What are the performance requirements?
    ↑ Check: domain-web (latency, throughput needs)
    ↑ Check: Team expertise (familiarity with framework)
QuestionTrace ToAsk
Framework choicedomain-*What constraints matter?
Library vs builddomain-*What's the deployment model?
API designdomain-*Who are the consumers?

Trace Down ↓

To implementation (Layer 1):

"Integrate external crate"
    ↓ m04-zero-cost: Trait bounds and generics
    ↓ m06-error-handling: Error type compatibility

"FFI integration"
    ↓ unsafe-checker: Safety requirements
    ↓ m12-lifecycle: Resource cleanup

Quick Reference

Language Interop
IntegrationCrate/ToolUse Case
C/C++ → RustbindgenAuto-generate bindings
Rust → CcbindgenExport C headers
Python ↔ Rustpyo3Python extensions
Node.js ↔ Rustnapi-rsNode addons
WebAssemblywasm-bindgenBrowser/WASI
Show full SKILL.md (146 more words)Show less
Cargo Features
FeaturePurpose
[features]Optional functionality
default = [...]Default features
feature = "serde"Conditional deps
[workspace]Multi-crate projects

Error Code Reference

ErrorCauseFix
E0433Can't find crateAdd to Cargo.toml
E0603Private itemCheck crate docs
Feature not enabledOptional featureEnable in features
Version conflictIncompatible depscargo update or pin
Duplicate typesDifferent crate versionsUnify in workspace

Crate Selection Criteria

CriterionGood SignWarning Sign
MaintenanceRecent commitsYears inactive
CommunityActive issues/PRsNo response
DocumentationExamples, API docsMinimal docs
StabilitySemantic versioningFrequent breaking
DependenciesMinimal, well-knownHeavy, obscure

Anti-Patterns

Anti-PatternWhy BadBetter
extern crateOutdated (2018+)Just use
#[macro_use]Global pollutionExplicit import
Wildcard deps *UnpredictableSpecific versions
Too many depsSupply chain riskEvaluate necessity
Vendoring everythingMaintenance burdenTrust crates.io

WhenSee
Error type designm06-error-handling
Trait integrationm04-zero-cost
FFI safetyunsafe-checker
Resource managementm12-lifecycle

© fjrevoredo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/m11-ecosystem of fjrevoredo/mini-diarium.

Open the folder on GitHubat commit eed457f

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in fjrevoredo/mini-diarium, which our catalogue first saw on October 7, 2026.

Compare with similar skills

M11 Ecosystem next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

M11 Ecosystem compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
M11 Ecosystem this skillfjrevoredo/mini-diarium3081 repos~1.1kAutomated safety check: PassMIT
Edge Pythondylan-sutton-chavez/edge-python273—~11kAutomated safety check: PassCustom licence
Test Runnernoumena-labs/Sipp121—~854Automated safety check: PassApache-2.0
Daemon Devnteract/nteract179—~3kAutomated safety check: PassBSD-3-Clause
Check Loanwordayutaz/piper-plus230—~1.1kAutomated safety check: PassMIT
Check Runtime Parityayutaz/piper-plus230—~972Automated safety check: PassMIT

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Questions about M11 Ecosystem

What does M11 Ecosystem do?

A skill your agent uses when integrating crates or ecosystem questions. M11 Ecosystem is an agent skill from fjrevoredo/mini-diarium. Use when integrating crates or ecosystem questions.

When should I use M11 Ecosystem?

M11 Ecosystem fits situations like: integrating crates; ecosystem questions.

How do I install M11 Ecosystem in Claude Code?

Run `npx skills add fjrevoredo/mini-diarium --skill m11-ecosystem -a claude-code`. Or copy the skill folder (.agents/skills/m11-ecosystem in fjrevoredo/mini-diarium) into .claude/skills/m11-ecosystem in your project. Claude Code loads it when a task matches its description.

How do I install M11 Ecosystem in Codex?

Run `npx skills add fjrevoredo/mini-diarium --skill m11-ecosystem -a codex`. Or copy the skill folder (.agents/skills/m11-ecosystem in fjrevoredo/mini-diarium) into .agents/skills/m11-ecosystem in your project. Codex loads it when a task matches its description.

Can I use M11 Ecosystem in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fjrevoredo/mini-diarium --skill m11-ecosystem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/m11-ecosystem, .gemini/skills/m11-ecosystem, .github/skills/m11-ecosystem and .opencode/skills/m11-ecosystem in your project.

What does M11 Ecosystem need to run?

Going by SKILL.md and its folder, M11 Ecosystem needs the command-line tools its instructions call (cargo). Our summary lists: Python 3; Node.js.

Does M11 Ecosystem access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is M11 Ecosystem safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does M11 Ecosystem use?

M11 Ecosystem is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does M11 Ecosystem use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to M11 Ecosystem?

Skills that share tags, products or a category with M11 Ecosystem: Edge Python (dylan-sutton-chavez/edge-python, 273 stars), Test Runner (noumena-labs/Sipp, 121 stars), Daemon Dev (nteract/nteract, 179 stars) and Check Loanword (ayutaz/piper-plus, 230 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains M11 Ecosystem?

fjrevoredo (a GitHub user) maintains it in fjrevoredo/mini-diarium, which has 308 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 9, 2026.

Source: fjrevoredo/mini-diarium on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.